Manik Bhandari
Title
Cited by
Cited by
Year
Incorporating syntactic and semantic information in word embeddings using graph convolutional networks
S Vashishth, M Bhandari, P Yadav, P Rai, C Bhattacharyya, P Talukdar
arXiv preprint arXiv:1809.04283, 2018
522018
Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
A Kumar, S Bhattamishra, M Bhandari, P Talukdar
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
342019
Confidence-based graph convolutional networks for semi-supervised learning
S Vashishth, P Yadav, M Bhandari, P Talukdar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
232019
Re-evaluating evaluation in text summarization
M Bhandari, P Gour, A Ashfaq, P Liu, G Neubig
arXiv preprint arXiv:2010.07100, 2020
222020
Metrics also disagree in the low scoring range: Revisiting summarization evaluation metrics
M Bhandari, P Gour, A Ashfaq, P Liu
arXiv preprint arXiv:2011.04096, 2020
52020
Graph convolutional networks based word embeddings
S Vashishth, P Yadav, M Bhandari, P Rai, C Bhattacharyya, P Talukdar
arXiv preprint arXiv:1809.04283, 2018
52018
Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract)
M Bhandari, M Feblowitz, O Hassanzadeh, K Srinivas, S Sohrabi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15759 …, 2021
12021
Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract)
M Bhandari, M Feblowitz, O Hassanzadeh, K Srinivas, S Sohrabi
2021
Supplementary Material: Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation
A Kumar, S Bhattamishra, M Bhandari, P Talukdar
Diverse Paraphrasing and its Effectiveness in Data Augmentation
A Kumar, S Bhattamishra, M Bhandari, P Talukdar
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